95 results about "Patient input" patented technology

A system and related method for identifying a trigger event to a patient health-related exacerbation. The system includes at least one sensor configured to collect data related to the patient health-related exacerbation, an analyzer configured to validate the collected data, a patient interface device configured to receive patient inputs to at least one question, and an identifier device configured to receive the patient inputs and collected data and identify the trigger event. The system may also include an expert system configured to receive the patient inputs and the validated collected data and identify a primary patient disease, and a reporting device configured to generate reports related to the identified primary patient disease, patient inputs, and sensed patient conditions.

This invention relates to an interactive medication container or console that hold or otherwise organizes one or more medication vials or containers. Each vial has a memory strip containing medication and prescription information. Each vial can also include a reminder unit that is attached to and portable with the individual vials. The console or reminder unit reads the information strip of the vial and communicates this information to or interacts with a patient to remind them to take the medication. The medication container or reminder unit also gathers or tracks information such as consumption time, quantity remaining, patient feedback, and contraindication information. The medication container or reminder unit interacts with the patient by displaying questions or receiving and recording input from the patient before, during or after a dose of medication is taken. The patient input can be used to modify the dosing regimen for future doses of medication. The medication container reorders medication when the quantity remaining reaches a threshold level. Contraindication information in the memory strip is downloaded to a personal home computer or a hospital or nursing home computer.

This invention relates to an interactive medication container or console that hold or otherwise organizes one or more medication vials or containers. Each vial has a memory strip containing medication and prescription information. Each vial can also include a reminder unit that is attached to and portable with the individual vials. The console or reminder unit reads the information strip of the vial and communicates this information to or interacts with a patient to remind them to take the medication. The medication container or reminder unit also gathers or tracks information such as consumption time, quantity remaining, patient feedback, and contraindication information. The medication container or reminder unit interacts with the patient by displaying questions or receiving and recording input from the patient before, during or after a dose of medication is taken. The patient input can be used to modify the dosing regimen for future doses of medication. The medication container reorders medication when the quantity remaining reaches a threshold level. Contraindication information in the memory strip is downloaded to a personal home computer or a hospital or nursing home computer.

An apparatus for evaluating leg movement characteristics of a patient is provided. The apparatus comprises a base assembly configured to at least partially support the patient's torso; and first and second leg support assemblies independently pivotably mounted about a pivot axis relative to the base assembly. Each leg support assembly is configured to at least partially support a portion of a respective one of the first and second legs, independent of the support of the torso. Each of the leg support assemblies also comprises: a first leg support member including a foot rotation assembly configured to at least partially retain and support an associated foot of the patient and to rotate it about an axis of rotation relative to the base assembly; and a second leg support member configured for supporting a portion of the leg at a location proximal relative to the first leg support member.

An edema monitoring system includes an implantable medical device (IMD) and a personal edema monitor. The IMD measures an intra-thoracic impedance and transmits intra-thoracic impedance data and other biological data to the personal edema monitor, which generates a user interface based on patient inputs relating to activities and health assessments, the measured intra-thoracic impedance data and the other biological data.

A computer assisted pain assessment method where the patient is presented with successive computer screens: a first screen with a human body replica on an interactive touch screen for the patient to shade his or her area of pain being experienced and then presented with a second screen with a color spectrum scale for the patient to select a pain intensity from minimum to maximum by moving a pointer to indicate the pain intensity, a check the box for type of pain where the patient checks a box indicating his or her type of pain, and a gray scale for indicating a depth of pain where the patient moves a pointer between superficial or bone level. Upon completion of these two screens, the next computer screen presents the human body replica with the pain area shown by particular marking for the area of pain, the selected type of pain by a unique pattern for the area of pain and the pattern colored for the particular intensity as selected on the second screen. The patient then is asked to confirm the pain. If confirmed, the patient would activate the finish button on the navigation bar. The patient inputs are processed by the computer along with the patient history and vital statistics, and an on-screen report is available to the clinician or physician to review and print out. A main feature of the report is the Objective Pain Value computed from the area shaded relative to the body replica area and the pain intensity chosen on a color spectrum scale.

A patient management system includes a device, an interactive display, a repeater unit, and a host. The device assesses at least one dietary condition of a patient. The interactive display receives patient input related to the patient's dietary conditions and communicates dietary feedback to the patient. The system may also include at least one sensor configured to assess at least one dietary condition of the patient. The repeater unit collects information from the device, the interactive display and the sensors. The host communicates with the repeater through a network. The patient's own input of dietary information into the system can be useful for verifying sources of measured data and enhancing feedback given to the patient. The system is configured to perform accurately even in the absence of patient input or the input of incorrect information by the patient.

An apparatus, system, and method are disclosed for determining a patient's condition. A system for determining a patient's condition, in one embodiment, comprises a computer processor device, an interface between the computer processor and one or more patient monitoring devices, and a software program configured to interpret patient input data, diagnose the patient's condition, and recommend treatment options. A method for determining a patient's condition may comprise receiving patient data from one or more patient monitoring devices, consulting a treatment database, determining a diagnosis, and converting a diagnosis into a treatment.

Described herein are methods for controlling Transcranial Magnetic Stimulation during or within a session, where direct immediate patient reported feedback is utilized to assess the effect and optimize the treatment in real time. These methods may be applicable to superficial repetitive Transcranial Magnet Stimulation (rTMS) or deep-brain stereotactic Transcranial Magnetic Stimulation (sTMS). Examples of therapies that may benefit from these methods include TMS treatment of: acute pain (e.g., during dental procedures or bunionectomies), depression, or Parkinson's Disease, to name only a few. TMS systems and devices including or more patient inputs that may be used to perform these methods are also described.

The invention relates to an intelligent medical treatment personalization recommendation system and an implementation method thereof. The intelligent medical treatment personalization recommendation system is composed of a wireless sensing network and a personalization recommendation platform. The wireless sensing network acquires current key physical indexes of a patient and sends the current key physic indexes to the platform through a wireless network, and the patient inputs relevant symptoms on the platform. The personalization recommendation platform is a framework based on a B / S three-layer mode. The personalization recommendation platform analyzes former physical indexes of patients treated by doctors stored in a database based on the data acquired by the sensor and the data input by the patient, and excavates and analyzes treatment information of other patients similar with the symptoms of the patient and the former treatment records of the patient per se by using a data mining algorithm so as to provide personalization recommendation to the current patient. The patient can send an email to make an appointment based on a recommendation result.

A glycemic control system includes a physician processor, remote processor, and a portable telephone having a data input mechanism, a display, and an internal processor for bi-directional communication with the physician's processor and the remote processor. A patient inputs data to the internal processor responsive to input from the physician's processor and then transmits the information to the remote processor where an optimized number of units to be administered is sent back and displayed on the portable telephone.

The system comprises: NPIC (network patient information center), OST (outpatient service terminal) and MRSU (medical record storage unit). Wherein, said NPIC is used for managing the patient information database; when the patients input their ID information, the NPIC authenticates the patients according to the patient information database; if authentication fails, NPIC prompts the patient ID is not confirmed; if the authentication succeeds, the patients can call their overall historical cases from the storage unit, and the outpatient service terminal will display the information accordingly; after diagnosis, the new patient information will be sent to and saved in the storage unit.

A user is enabled to request a visual review of a plurality of subsets of aggregate brain activity data, and the data contained in each subset are transformed into a visual display presented to the user. Significantly, rather than requiring the user to separately request a visual display of each selected subset, a visual display for each different subset is automatically sequentially displayed, based upon a single user request. This sequential display is particularly useful where the data from each subset cannot be readily displayed simultaneously. Thus, if twenty subsets are selected by the user from the aggregate brain activity data, then twenty different visual displays will be selectively generated and sequentially displayed in response to a single user request. Such subsets can be defined by annotations, where such annotations are defined by a patient input, an automated review, or an expert review.

The techniques described herein relate identification of disease-causing genetic variant by machine learning classification. The techniques may include receiving a training dataset of predetermined variants associated with disease. A hyperplane is identified having a maximum margin between points of the dataset. Patient input data is received including an observed variant of a gene. Features of the observed variant are selected, and a score is determined The score is determined using Support Vector Machine algorithms based on an observation of a novel non-linear relationship with the selected features of the observed variant. The observed variant may be classified based on the score indicating a distance of the observed variant from the identified hyperplane.

The invention provides an auxiliary registration method based on a Bayes text classification model. The method comprises the step of obtaining symptom chief complaint text data and preprocessing the data, the step of training the preprocessed data based on the Bayes text classifying algorithm, and the step of assessing auxiliary registration classification models on which training is carried out and applying the model with the performance meeting the requirement to the auxiliary network appointment registration. In the process of Bayes theory training, optimization is carried out from two aspects according to the characteristics of symptom main complaint data, and in one aspect, absolute weight is given based on a core symptom word list in the vector weight calculating process; in the other aspect, the layering Bayes model is used for carrying out training according to the illness large classes and characteristics. According to the auxiliary registration method, the auxiliary classification model is obtained by training the symptom chief complaint text data, and the processing capacity of patient input is improved under the disease consulting, registration consulting and other typical scenes.

Presented are systems and methods for providing doctors and patients with treatment information based on computer-aided diagnoses that has been generated using patient input, electronic health care record information, and medical instrument input data. The treatment and / or diagnostic information may be shared with health care professionals and specialists, as needed.

A treatment system and method includes a treatment system server having a building block module to generate modular, interactive building blocks for treatment regimens. The building blocks represent a time-sensitive aspect of the treatment regimen, and are selectively assembled by a care provider client computer in substantially any combination, to form a customized treatment regimen. An assembly module transforms the building blocks into entries on a calendar viewable on a patient client computer. A transformation module transforms the patient input data into a display of patient progress. The treatment system server permits selective access to the treatment program by client computers. A webserver hosts a website to enable client computers to access the treatment system server. A treatment plan database server stores the assembled treatment plans. A communications server provides secure communications between care provider client computers and patient client computers, and between the webserver and a patient record database.

The apparatus provides active and passive exercise to the hand and wrist of a patient afflicted with the symptoms of reflex sympathetic dystrophy. The apparatus employs a hand or wrist glove to be worn by the patient's affected hand, the back of which is attached through an arm to a central post and the distal portion encasing the fingers, is attached to a vertical handle, which is rotated about the post, serving as the axis of rotation. A torque sensor is coupled to the motor shaft to measure the degree of patient input from a programmed speed and force rate by sensing the active input of the patient and reducing the motor input to the cycle allowing the patient to “drive” the exercise.

A prescription delivery computing system determines whether one or more prescriptions are respectively eligible to be delivered to the patient, the one or more prescriptions resultant from a telemedicine session conducted between a patient and a health care provider via a first patient computing device and a health care provider computing system; for the one or more prescriptions that are eligible to be delivered to the patient, obtains a price quote for delivery services to deliver the one or more prescriptions from a pharmacy to the patient, the price quote obtained from a delivery service computing system; provides the price quote for the delivery services to the patient for approval; responsive to receiving patient input data indicative of patient approval of the price quote for the delivery services, arranges for the delivery services to be performed; and transmits data that describes the one or more prescriptions to the pharmacy.

The invention relates to the technical field of diabetes, in particular to a follow-up interaction system for a diabetes doctor. The follow-up interaction system comprises a user terminal, a server and a management terminal, wherein the server is connected with the user terminal and the management terminal through a network communication protocol, thereby realizing data interaction. The follow-up interaction system for the diabetes doctor is used mainly by the following steps that (1) a patient inputs patient information to the server through the user terminal; (2) the doctor checks the patient information input in step (1) from the server through the management server, and then inputs a corresponding treatment suggestion to the server according to the corresponding patient information; (3) the patient acquires the patient information input in step (1) and the treatment suggestion input in step (2) in real time from the server through the user terminal. The follow-up interaction system aims at the shortcomings of the adoption of paper for taking diabetes notes, and can be used for realizing real-time interaction between the patient and the doctor.

The invention relates to a digitalized medical cart based on RFID (Radio Frequency Identification Device) technology. When a patient enters in a hospital, the information of a patient is stored in an RFID chip by a hospitalization office when the patient is accepted, an attending doctor accepting the hospitalization patient inputs the basic information of examination found into the RFID chip, and all the medical record data of the patient can be downloaded via Wi-Fi, and transmitted to a data terminal of the digitalized medical cart. The existing database and the existing system of the original HIS (Hospital Information System) are integrated. The medical records and the prescription diagnosis and treatment information of the patient can be rapidly searched in a hospitalization database in the data terminal server of a background by applying the workstation of the data terminal, and reading a corresponding patient number in the RFID chip on the wrist of the patient via a reader-writer, and the data can be uploaded and downloaded via the data terminal server. Connection for the information of the data terminal server and the background server of the digitalized medical cart is finished, the preparation for ward round and drug delivery by the digitalized medical cart is realized.

A portable apparatus for managing a plurality of events related to a patient and for recording and storing input data related to said events is disclosed. The portable apparatus comprises a man machine user interface; a timer unit; a control unit, arranged to provide an invitation to the patient as an instruction via the interface to perform a motion exercise, upon a trigger from the timer unit or upon a patient self initiation. In an embodiment the apparatus comprises a sensor to record measurements related to said motion exercise. Further, a storage unit is arranged to retrievably store patient input data and said measurements. This enables diagnosing a degree of a neurological disease or an effect of a medication on said neurological disease.

A user is enabled to request a visual review of a plurality of subsets of aggregate brain activity data, and the data contained in each subset are transformed into a visual display presented to the user. Significantly, rather than requiring the user to separately request a visual display of each selected subset, a visual display for each different subset is automatically sequentially displayed, based upon a single user request. This sequential display is particularly useful where the data from each subset cannot be readily displayed simultaneously. Thus, if twenty subsets are selected by the user from the aggregate brain activity data, then twenty different visual displays will be selectively generated and sequentially displayed in response to a single user request. Such subsets can be defined by annotations, where such annotations are defined by a patient input, an automated review, or an expert review.

A computer implemented online patient lead system includes a medical service provider database storing information for medical services offered by medical service providers, and a patient interface module cooperating with the medical service provider database for prompting and receiving patient input data over the Internet relating to a selected medical service offered by at least one selected medical service provider. The patient lead system may further include a financing module cooperating with the patient interface module and the medical service provider database for determining patient financing approval for the selected medical service, and notifying the at least one selected medical service provider of patient financing approval to thereby serve as a patient lead.

A portable apparatus for managing a plurality of events related to a patient and for recording and storing input data related to said events is disclosed. The portable apparatus comprises a man machine user interface; a timer unit; a control unit, arranged to provide an invitation to the patient as an instruction via the interface to perform a motion exercise, upon a trigger from the timer unit or upon a patient self initiation. In an embodiment the apparatus comprises a sensor to record measurements related to said motion exercise. Further, a storage unit is arranged to retrievably store patient input data and said measurements. This enables diagnosing a degree of a neurological disease or an effect of a medication on said neurological disease.

An implantable loop recorder (ILR) is subcutaneously implantable to record cardiac data. The ILR includes a patient activation mechanism whereby the patient can input commands to the ILR without using an external device. The patient activation mechanism may be a subcutaneous switch disposed on an outer portion of the ILR or a motion sensor that senses tapping of the device as an input. The patient input will direct the device to store data, telemeter data, or send a message summoning an emergency response. The ILR has distance telemetry capabilities so that a telemetered message is wirelessly transmitted to an external device which then relays the message to a remote location.